 Connection
Casey Greene to Computational Biology
This is a "connection" page, showing publications Casey Greene has written about Computational Biology.
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Connection Strength |
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5.582 |
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Davidson NR, Zhang F, Greene CS. BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. PLoS Comput Biol. 2025 Jan; 21(1):e1012742.
Score: 0.633
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Le TT, Himmelstein DS, Hippen AA, Gazzara MR, Greene CS. Analysis of scientific society honors reveals disparities. Cell Syst. 2021 09 22; 12(9):900-906.e5.
Score: 0.499
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Taroni JN, Grayson PC, Hu Q, Eddy S, Kretzler M, Merkel PA, Greene CS. MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Syst. 2019 05 22; 8(5):380-394.e4.
Score: 0.428
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Way GP, Greene CS. Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders. Pac Symp Biocomput. 2018; 23:80-91.
Score: 0.388
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Harrington LX, Way GP, Doherty JA, Greene CS. Functional network community detection can disaggregate and filter multiple underlying pathways in enrichment analyses. Pac Symp Biocomput. 2018; 23:157-167.
Score: 0.388
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Beaulieu-Jones BK, Greene CS. Reproducibility of computational workflows is automated using continuous analysis. Nat Biotechnol. 2017 04; 35(4):342-346.
Score: 0.367
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Way GP, Allaway RJ, Bouley SJ, Fadul CE, Sanchez Y, Greene CS. A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma. BMC Genomics. 2017 02 06; 18(1):127.
Score: 0.365
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Greene CS, Foster JA, Stanton BA, Hogan DA, Bromberg Y. COMPUTATIONAL APPROACHES TO STUDY MICROBES AND MICROBIOMES. Pac Symp Biocomput. 2016; 21:557-67.
Score: 0.338
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Greene CS, Tan J, Ung M, Moore JH, Cheng C. Big data bioinformatics. J Cell Physiol. 2014 Dec; 229(12):1896-900.
Score: 0.314
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Nandi S, Zhu Y, Gillenwater LA, Subirana-Granés M, Zhang H, Janani N, Greene C, Pividori M, Chikina M, Costello JC. A Pathway-Level Information ExtractoR (PLIER) framework to gain mechanistic insights into obesity in Down syndrome. Pac Symp Biocomput. 2025; 30:412-425.
Score: 0.158
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Pividori M, Ritchie MD, Milone DH, Greene CS. An efficient, not-only-linear correlation coefficient based on clustering. Cell Syst. 2024 Sep 18; 15(9):854-868.e3.
Score: 0.154
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Way GP, Greene CS, Carninci P, Carvalho BS, de Hoon M, Finley SD, Gosline SJC, L? Cao KA, Lee JSH, Marchionni L, Robine N, Sindi SS, Theis FJ, Yang JYH, Carpenter AE, Fertig EJ. A field guide to cultivating computational biology. PLoS Biol. 2021 10; 19(10):e3001419.
Score: 0.126
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Heil BJ, Hoffman MM, Markowetz F, Lee SI, Greene CS, Hicks SC. Reproducibility standards for machine learning in the life sciences. Nat Methods. 2021 10; 18(10):1132-1135.
Score: 0.126
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Lê Cao KA, Abadi AJ, Davis-Marcisak EF, Hsu L, Arora A, Coullomb A, Deshpande A, Feng Y, Jeganathan P, Loth M, Meng C, Mu W, Pancaldi V, Sankaran K, Righelli D, Singh A, Sodicoff JS, Stein-O'Brien GL, Subramanian A, Welch JD, You Y, Argelaguet R, Carey VJ, Dries R, Greene CS, Holmes S, Love MI, Ritchie ME, Yuan GC, Culhane AC, Fertig E. Community-wide hackathons to identify central themes in single-cell multi-omics. Genome Biol. 2021 08 05; 22(1):220.
Score: 0.125
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Hu Q, Greene CS. Parameter tuning is a key part of dimensionality reduction via deep variational autoencoders for single cell RNA transcriptomics. Pac Symp Biocomput. 2019; 24:362-373.
Score: 0.104
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Moore JH, Jennings SF, Greene CS, Hunter LE, Perkins AD, Williams-Devane C, Wunsch DC, Zhao Z, Huang X. NO-BOUNDARY THINKING IN BIOINFORMATICS. Pac Symp Biocomput. 2017; 22:646-648.
Score: 0.091
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Jiang Y, Oron TR, Clark WT, Bankapur AR, D'Andrea D, Lepore R, Funk CS, Kahanda I, Verspoor KM, Ben-Hur A, Koo da CE, Penfold-Brown D, Shasha D, Youngs N, Bonneau R, Lin A, Sahraeian SM, Martelli PL, Profiti G, Casadio R, Cao R, Zhong Z, Cheng J, Altenhoff A, Skunca N, Dessimoz C, Dogan T, Hakala K, Kaewphan S, Mehryary F, Salakoski T, Ginter F, Fang H, Smithers B, Oates M, Gough J, Törönen P, Koskinen P, Holm L, Chen CT, Hsu WL, Bryson K, Cozzetto D, Minneci F, Jones DT, Chapman S, Bkc D, Khan IK, Kihara D, Ofer D, Rappoport N, Stern A, Cibrian-Uhalte E, Denny P, Foulger RE, Hieta R, Legge D, Lovering RC, Magrane M, Melidoni AN, Mutowo-Meullenet P, Pichler K, Shypitsyna A, Li B, Zakeri P, ElShal S, Tranchevent LC, Das S, Dawson NL, Lee D, Lees JG, Sillitoe I, Bhat P, Nepusz T, Romero AE, Sasidharan R, Yang H, Paccanaro A, Gillis J, Sedeño-Cortés AE, Pavlidis P, Feng S, Cejuela JM, Goldberg T, Hamp T, Richter L, Salamov A, Gabaldon T, Marcet-Houben M, Supek F, Gong Q, Ning W, Zhou Y, Tian W, Falda M, Fontana P, Lavezzo E, Toppo S, Ferrari C, Giollo M, Piovesan D, Tosatto SC, Del Pozo A, Fernández JM, Maietta P, Valencia A, Tress ML, Benso A, Di Carlo S, Politano G, Savino A, Rehman HU, Re M, Mesiti M, Valentini G, Bargsten JW, van Dijk AD, Gemovic B, Glisic S, Perovic V, Veljkovic V, Veljkovic N, Almeida-E-Silva DC, Vencio RZ, Sharan M, Vogel J, Kansakar L, Zhang S, Vucetic S, Wang Z, Sternberg MJ, Wass MN, Huntley RP, Martin MJ, O'Donovan C, Robinson PN, Moreau Y, Tramontano A, Babbitt PC, Brenner SE, Linial M, Orengo CA, Rost B, Greene CS, Mooney SD, Friedberg I, Radivojac P. An expanded evaluation of protein function prediction methods shows an improvement in accuracy. Genome Biol. 2016 09 07; 17(1):184.
Score: 0.089
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Rudd J, Zelaya RA, Demidenko E, Goode EL, Greene CS, Doherty JA. Leveraging global gene expression patterns to predict expression of unmeasured genes. BMC Genomics. 2015 Dec 15; 16:1065.
Score: 0.084
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Gonzalez GH, Tahsin T, Goodale BC, Greene AC, Greene CS. Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery. Brief Bioinform. 2016 Jan; 17(1):33-42.
Score: 0.083
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Greene AC, Giffin KA, Greene CS, Moore JH. Adapting bioinformatics curricula for big data. Brief Bioinform. 2016 Jan; 17(1):43-50.
Score: 0.080
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Mahoney JM, Taroni J, Martyanov V, Wood TA, Greene CS, Pioli PA, Hinchcliff ME, Whitfield ML. Systems level analysis of systemic sclerosis shows a network of immune and profibrotic pathways connected with genetic polymorphisms. PLoS Comput Biol. 2015 Jan; 11(1):e1004005.
Score: 0.079
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Tan J, Ung M, Cheng C, Greene CS. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders. Pac Symp Biocomput. 2015; 132-43.
Score: 0.079
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Cheng C, Moore J, Greene C. Applications of bioinformatics to non-coding RNAs in the era of next-generation sequencing. Pac Symp Biocomput. 2014; 412-6.
Score: 0.074
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Ju W, Greene CS, Eichinger F, Nair V, Hodgin JB, Bitzer M, Lee YS, Zhu Q, Kehata M, Li M, Jiang S, Rastaldi MP, Cohen CD, Troyanskaya OG, Kretzler M. Defining cell-type specificity at the transcriptional level in human disease. Genome Res. 2013 Nov; 23(11):1862-73.
Score: 0.072
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Park CY, Wong AK, Greene CS, Rowland J, Guan Y, Bongo LA, Burdine RD, Troyanskaya OG. Functional knowledge transfer for high-accuracy prediction of under-studied biological processes. PLoS Comput Biol. 2013; 9(3):e1002957.
Score: 0.070
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Gonzalez G, Cohen KB, Greene CS, Hahn U, Kann MG, Leaman R, Shah N, Ye J. Text and data mining for biomedical discovery. Pac Symp Biocomput. 2013; 2013:368-72.
Score: 0.069
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Greene CS, Himmelstein DS, Nelson HH, Kelsey KT, Williams SM, Andrew AS, Karagas MR, Moore JH. Enabling personal genomics with an explicit test of epistasis. Pac Symp Biocomput. 2010; 327-36.
Score: 0.056
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Lee BD, Gitter A, Greene CS, Raschka S, Maguire F, Titus AJ, Kessler MD, Lee AJ, Chevrette MG, Stewart PA, Britto-Borges T, Cofer EM, Yu KH, Carmona JJ, Fertig EJ, Kalinin AA, Signal B, Lengerich BJ, Triche TJ, Boca SM. Ten quick tips for deep learning in biology. PLoS Comput Biol. 2022 03; 18(3):e1009803.
Score: 0.033
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Bobak CA, Muse M, Giffin KA, Williamson DA, Greene CS, Moore JH, Wall DP. Human Intrigue: Meta-analysis approaches for big questions with big data while shaking up the peer review process. Pac Symp Biocomput. 2022; 27:156-162.
Score: 0.032
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Brito JJ, Li J, Moore JH, Greene CS, Nogoy NA, Garmire LX, Mangul S. Recommendations to enhance rigor and reproducibility in biomedical research. Gigascience. 2020 06 01; 9(6).
Score: 0.029
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Lin YT, Way GP, Barwick BG, Mariano MC, Marcoulis M, Ferguson ID, Driessen C, Boise LH, Greene CS, Wiita AP. Integrated phosphoproteomics and transcriptional classifiers reveal hidden RAS signaling dynamics in multiple myeloma. Blood Adv. 2019 11 12; 3(21):3214-3227.
Score: 0.028
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Yao X, Yan J, Liu K, Kim S, Nho K, Risacher SL, Greene CS, Moore JH, Saykin AJ, Shen L. Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules. Bioinformatics. 2017 Oct 15; 33(20):3250-3257.
Score: 0.024
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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